2019.03.24 CS AI papers

03-19-2019	Efficient Off-Policy Meta-Reinforcement Learning via Probabilistic Context Variables by Kate Rakelly et al	Exploration & Reward	235
03-21-2019	Towards Characterizing Divergence in Deep Q-Learning by Joshua Achiam et al	Bayesian & Adversarial	60
03-21-2019	Recent advances in conversational NLP : Towards the standardization of Chatbot building by Maali Mnasri	Explanation & Explainable	30
03-20-2019	Online continual learning with no task boundaries by Rahaf Aljundi et al	Decision Making & Value	25
03-21-2019	Iteratively Learning Embeddings and Rules for Knowledge Graph Reasoning by Wen Zhang et al	Embeddings & Knowledge Graphs	20
03-19-2019	Prospection: Interpretable Plans From Language By Predicting the Future by Chris Paxton et al	Representations & Machine Translation	20
03-20-2019	Batch Policy Learning under Constraints by Hoang M. Le et al	PPO & Actor-critic	19
03-21-2019	Short-Term Prediction and Multi-Camera Fusion on Semantic Grids by Lukas Hoyer et al	Control & Driving	13
03-20-2019	Contextual Compositionality Detection with External Knowledge Bases andWord Embeddings by Dongsheng Wang et al	Representations & Machine Translation	11
03-20-2019	Using Local Experiences for Global Motion Planning by Constantinos Chamzas et al	Classical Planning & Motion Planning	11
03-19-2019	On Sampling Random Features From Empirical Leverage Scores: Implementation and Theoretical Guarantees by Shahin Shahrampour et al	Decision Making & Value	9
03-19-2019	Truly Proximal Policy Optimization by Yuhui Wang et al	PPO & Actor-critic	9
03-20-2019	Counterexample-Guided Strategy Improvement for POMDPs Using Recurrent Neural Networks by Steven Carr et al	Argumentation & Logic	8
03-21-2019	Biasing MCTS with Features for General Games by Dennis J. N. J. Soemers et al	Games & Search	8
03-20-2019	Dilated deeply supervised networks for hippocampus segmentation in MRI by Lukas Folle et al	Images & Detection And Classification	8
03-20-2019	Artificial Intelligence : from Research to Application ; the Upper-Rhine Artificial Intelligence Symposium (UR-AI 2019) by Andreas Christ et al	Machine Learning & Artificial Intelligence (AI)	7
03-22-2019	Nonmodular architectures of cognitive systems based on active inference by Manuel Baltieri et al	Latent Space & Generative Models	7
03-20-2019	ToyArchitecture: Unsupervised Learning of Interpretable Models of the World by Jaroslav Vítků et al	Machine Learning & Artificial Intelligence (AI)	6
03-19-2019	Why Couldnt You do that? Explaining Unsolvability of Classical Planning Problems in the Presence of Plan Advice by Sarath Sreedharan et al	Classical Planning & Motion Planning	6
03-21-2019	Towards a Forensic Event Ontology to Assist Video Surveillance-based Vandalism Detection by Faranak Sobhani et al	Images & Detection And Classification	6
03-19-2019	Diversity-Promoting Deep Reinforcement Learning for Interactive Recommendation by Yong Liu et al	Embeddings & Knowledge Graphs	6
03-20-2019	Reinforcing Classical Planning for Adversary Driving Scenarios by Nazmus Sakib et al	Classical Planning & Motion Planning	6
03-22-2019	Monte Carlo Neural Fictitious Self-Play: Achieve Approximate Nash equilibrium of Imperfect-Information Games by Li Zhang et al	Games & Search	6
03-21-2019	Towards automatic construction of multi-network models for heterogeneous multi-task learning by Unai Garciarena et al	Games & Search	5
03-19-2019	A Learning Framework for Distribution-Based Game-Theoretic Solution Concepts by Tushant Jha et al	Games & Search	5
03-19-2019	Hyper-Parameter Sweep on AlphaZero General by Hui Wang et al	Games & Search	5
03-20-2019	Extracting Frequent Gradual Patterns Using Constraints Modeling by Jerry Lonlac et al	Argumentation & Logic	5
03-19-2019	Turing-Completeness of Dynamics in Abstract Persuasion Argumentation by Ryuta Arisaka	Argumentation & Logic	5
03-21-2019	Exploiting Promising Sub-Sequences of Jobs to solve the No-Wait Flowshop Scheduling Problem by Lucien Mousin et al	Argumentation & Logic	4
03-20-2019	Empirical Evaluations of Seed Set Selection Strategies for Predictive Coding by Christian J. Mahoney et al	Decision Making & Value	4
03-22-2019	Artificial intelligence-based process for metal scrap sorting by Maximilian Auer et al	Machine Learning & Artificial Intelligence (AI)	4
03-20-2019	Modeling Intelligent Decision Making Command And Control Agents: An Application to Air Defense by Sumanta Kumar Das	Decision Making & Value	4
03-20-2019	Ontology of Card Sleights by Aaron Sterling	Images & Detection And Classification	4
03-22-2019	Deep Hierarchical Reinforcement Learning Based Recommendations via Multi-goals Abstraction by Dongyang Zhao et al	Images & Detection And Classification	3
03-22-2019	Using SMT Solvers to Validate Models for AI Problems by Andrei Arusoaie et al	Machine Learning & Artificial Intelligence (AI)	3
03-22-2019	Macro Action Reinforcement Learning with Sequence Disentanglement using Variational Autoencoder by Kim Heecheol et al	Robot & Action	3
03-21-2019	Distributed off-Policy Actor-Critic Reinforcement Learning with Policy Consensus by Yan Zhang et al	PPO & Actor-critic	2
03-21-2019	The Binary Space Partitioning-Tree Process by Xuhui Fan et al	Games & Search	2
03-21-2019	Binary Space Partitioning Forests by Xuhui Fan et al	Games & Search	2
03-21-2019	Inferring Compact Representations for Efficient Natural Language Understanding of Robot Instructions by Siddharth Patki et al	Representations & Machine Translation	2
03-21-2019	A Type-coherent, Expressive Representation as an Initial Step to Language Understanding by Gene Louis Kim et al	Representations & Machine Translation	2
03-21-2019	Trainable Time Warping: Aligning Time-Series in the Continuous-Time Domain by Soheil Khorram et al	Bayesian & Adversarial	1
03-22-2019	Improving Search with Supervised Learning in Trick-Based Card Games by Christopher Solinas et al	Games & Search	1
03-21-2019	Improving Safety in Reinforcement Learning Using Model-Based Architectures and Human Intervention by Bharat Prakash et al	Exploration & Reward	1

Craig SmithMarch 25, 2019